Instructions to use aigchacker/FLUX.1-dev-LoRA-One-Click-Creative-Template with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aigchacker/FLUX.1-dev-LoRA-One-Click-Creative-Template with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aigchacker/FLUX.1-dev-LoRA-One-Click-Creative-Template") prompt = "A young man, gold hair, white T-shirt. The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("aigchacker/FLUX.1-dev-LoRA-One-Click-Creative-Template")
prompt = "A young man, gold hair, white T-shirt. The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos."
image = pipe(prompt).images[0]FLUX.1-dev-LoRA-One-Click-Creative-Template
This is a LoRA trained on FLUX.1-dev by Nvwa_model_studio for creative photos.
Showcases

- Prompt
- A young man, gold hair, white T-shirt. The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos.

- Prompt
- A panda.The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos.

- Prompt
- A young girl, red hair, blue dress. The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos.
Trigger words
You should use The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos. to trigger the image generation. The recommended scale is 1.0 in diffusers.
Inference
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.load_lora_weights("Shakker-Labs/FLUX.1-dev-LoRA-One-Click-Creative-Template", weight_name="FLUX-dev-lora-One-Click-Creative-Template.safetensors")
pipe.fuse_lora(lora_scale=1.0)
pipe.to("cuda")
prompt = "A young girl, red hair, blue dress. The background is 4 real photos, and in the middle is a cartoon picture summarizing the real photos."
image = pipe(prompt,
num_inference_steps=24,
guidance_scale=3.5,
width=960, height=1280,
).images[0]
image.save(f"example.png")
Online Inference
You can also download this model at Shakker AI, where we provide an online interface to generate images.
We also provide an online ComfyUI workflow (Click Run Model) that accepts user-uploaded images to generate images
Acknowledgements
This model is trained by our copyrighted users Nvwa_model_studio. We release this model under permissions.
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Model tree for aigchacker/FLUX.1-dev-LoRA-One-Click-Creative-Template
Base model
black-forest-labs/FLUX.1-dev